Structural Break

What is structural break?

Structural break is an unexpected change in the pattern of data that we are given to work with.

Types of structural breaks

Non cyclic structural break
Cyclic structural break

How to detect structural breaks?

We can detect structural breaks by looking at the scatter plot if possible or else,

To detect structural breaks, we can use Chow test

Let the model be defined as:

Linear regression model in matrix form

We can add dummy variables as follows

Linear regression model with dummy variables

Where Delta t are active at time t with feature X

Now we can do a F test to see whether all dummy variables are 0 or not. If all dummy variables are 0 collectively then we can say there is no structural break otherwise there is structural break

Hypothesis of Chow test

If the null hypothesis is accepted then we can conclude that there is no structural break and the data is perfect to work with

Ways to resolve structural breaks

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A data science enthusiast currently pursuing a bachelor's degree in data science

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Aayushmaan Jain

A data science enthusiast currently pursuing a bachelor's degree in data science